DatriseAI-first ETL

MyCase to Mode Integration

AI-first ETL from MyCase into Mode. Governed entities, incremental sync, typed landing tables.

How Datrise loads MyCase into Mode

Datrise syncs MyCase's cases, clients, leads, time entries, invoices, and documents into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.

Ideal for SQL-first analysis with Python and R notebooks.

Endpoints

MyCase: Case management and client intake for law firms.

Mode: Collaborative analytics workspace for SQL, Python, and shared reports.

How MyCase entities map to Mode

MyCase entityMode objectNotes
casesmycase_casesid PK · custom fields → flattened columns for SQL and notebooks
clientsmycase_clientsid PK · linked to mycase_cases
leadsmycase_leadsid PK · linked to mycase_cases
time entriesmycase_time_entriesid PK · linked to mycase_cases

FAQ

How does Datrise handle MyCase's custom fields in Mode?

Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.

How does the MyCase to Mode sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

Connect MyCase to Mode the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.